Nvidia wants to extend the success of the GPU beyond graphics and deep learning to the full data science experience. Open source Python library Dask is the key to this.

Stefanie Molin's new book, “Hands-On Data Analysis with Pandas" is about using the powerful pandas library to get started with machine learning in Python.

Courses cover beginner-level topics such as data visualization with Python as well as advanced Python and machine learning concepts. Each course varies in length, from less than one hour to 23 hours.

His argument against Python is that a person using it for data science needs to learn about extra Python packages, like NumPy, which brings Matlab-like data-analysis powers to Python.

A programming course provides students an opportunity to familiarize themselves with coding programs, like Python. Meanwhile, a course in statistics teaches students key metrics by which to analyze ...

In this online data science specialization, you will apply machine learning algorithms to real-world data, learn when to use which model and why, and improve the performance of your models. Beginning ...

Anaconda Python Anaconda has come to prominence as a major Python distribution, not just for data science and machine learning but for general purpose Python development as well. Anaconda is ...

Data scientists and machine learning engineers traditionally favor hand-coded ML models and have been skeptical of the benefits and efficacy of AutoML. Like Python, AutoML is quickly maturing and ...

Python has turned into a data science and machine learning mainstay, while Julia was built from the ground up to do the job. Among the many use cases Python covers, data analytics has become ...

Both data science and machine learning are highly desired skills from employers, and this bundle covers some of the most important learning frameworks for Python data science, like Tensorflow and ...